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Jati Ariati; Thomas Pham; Jane S. Vogler – Active Learning in Higher Education, 2025
Serving as a prominent framework for online learning, the Community of Inquiry (CoI), identifies three factors critical to learning in online environments: teaching presence, cognitive presence, and social presence. However, application of the CoI framework to face-to-face classes has not been broadly or systematically explored, despite…
Descriptors: Electronic Learning, Constructivism (Learning), Educational Environment, In Person Learning
Daner Sun; Chee-Kit Looi; Yuqin Yang; Fenglin Jia – British Journal of Educational Technology, 2025
Universities, significantly impacted by the shift to online learning during pandemic, must critically evaluate their teaching methods and outcomes to enhance performance in the post-pandemic era. However, there has been a limited examination of whether students achieved comparable levels in cognition and social interaction during the pandemic…
Descriptors: Academic Achievement, Computer Assisted Instruction, Cooperative Learning, Pandemics
Xiangping Cui; Chen Du; Jun Shen; Susan Zhang; Juan Xu – IEEE Transactions on Learning Technologies, 2024
Research shows that gamified learning experiences can effectively improve the outstanding issues of students in online learning, such as lack of continuous motivation and easy burnout, thereby improving the effectiveness of online learning. However, how to enhance the gamified learning experience in online learning, and what impact there is…
Descriptors: Gamification, Learning Experience, Electronic Learning, Instructional Effectiveness
Efren de la Mora Velasco; Matthew Moreno – Educational Technology Research and Development, 2025
The measurable effects of music in online learning remains a topic of extensive debate, largely due to inconsistent findings within existing literature. Many of these inconclusive results stem from research methodologies that focus on singular perspectives, often overlooking a balance between cognitive challenges and emotional benefits of…
Descriptors: Music, Acoustics, Electronic Learning, Cognitive Processes
Xiao-Ming Wang; Wen-Qing Zhou; Gwo-Jen Hwang; Shi-Man Wang; Tong Huang – Educational Technology & Society, 2024
Knowing the factors affecting students' learning achievement in digital learning is a crucial educational issue nowadays. However, recent research has paid less attention to how an individual's internal factors (prior knowledge) influence their learning achievement through cognitive engagement, and previous studies generally employed students'…
Descriptors: Electronic Learning, Prior Learning, Cognitive Processes, Learner Engagement
Lanqin Zheng; Yunchao Fan; Zichen Huang; Lei Gao – Journal of Computer Assisted Learning, 2024
Background: Online collaborative learning has been widely adopted in the field of education. However, learners often find it difficult to engage in collaboratively building knowledge and jointly regulating online collaborative learning. Objectives: The study compared the impacts of the three learning approaches on collaborative knowledge building,…
Descriptors: Cooperative Learning, Electronic Learning, College Students, Learning Strategies
Verena Dornauer; Michael Netzer; Éva Kaczkó; Lisa-Maria Norz; Elske Ammenwerth – International Journal of Artificial Intelligence in Education, 2024
Cognitive presence is a core construct of the Community of Inquiry (CoI) framework. It is considered crucial for deep and meaningful online-based learning. CoI-based real-time dashboards visualizing students' cognitive presence may help instructors to monitor and support students' learning progress. Such real-time classifiers are often based on…
Descriptors: Electronic Learning, Discussion, Classification, Automation
Shuaizhen Jin; Zheng Zhong; Kunyan Li; Chen Kang – Education and Information Technologies, 2024
This study utilizes a comparative experimental research method to investigate the effect of the Predict, Observe, Explain, and Evaluate (POEE) learning strategy in an immersive virtual environment (IVE) on two types of learners with different levels of prior knowledge. One type referred to as Highly Experienced and Knowledgeable (HEK) learners,…
Descriptors: Active Learning, Inquiry, Prior Learning, Electronic Learning
Muh. Makhrus; Satutik Rahayu; Didik Santoso; Syarful Annam – Educational Process: International Journal, 2025
Background/purpose. This research aims to analyze the influence and test the effectiveness of using an e-module based on sustainable development goals (SDGs) with the conceptual change model-cognitive conflict approach (CCM-CCA) integrated with local wisdom on students' critical thinking skills. Materials/methods. This research employed a…
Descriptors: Electronic Learning, Learning Modules, Sustainable Development, Concept Formation
Kuhlmann, Shelbi L.; Bernacki, Matthew L.; Greene, Jeffrey A. – New Directions for Teaching and Learning, 2023
The affordances of computer-based learning environments make them powerful tools for conveying information in higher education. However, to most effectively use these environments, students must be adept at self-regulating their learning. This self-regulation is effortful, including a myriad of processes, including defining tasks, making plans,…
Descriptors: Multimedia Instruction, Learning Theories, Learning Strategies, Electronic Learning
Kuan-Fu Chen; Gwo-Jen Hwang; Mei-Rong Alice Chen – Educational Technology Research and Development, 2024
Many studies have incorporated concept maps into digital games to enable learners to make connections between subject concepts in the game. However, most learners do not associate spontaneously with the thematic concepts in the game but need to be facilitated by effective scaffolding mechanisms to reconceptualize the learning process and content.…
Descriptors: Concept Mapping, Game Based Learning, Learning Strategies, Grade 7
Yavuz Akbulut; Onur Dönmez; Beril Ceylan; Tayfun Firat – Journal of Computing in Higher Education, 2025
Providing pre-training on new material can simplify complex content for learners who may need guidance to understand basic facts and organize their efforts. However, the effect of pre-training on learning outcomes is controversial because it tends to vary by context. Our aim was to investigate the effectiveness of pre-training in reducing…
Descriptors: Training, Cognitive Processes, Difficulty Level, Academic Achievement
Russell Crank; Jenny Spence – Journal of Adult and Continuing Education, 2024
Student awareness and selection of learning strategies are predictors of academic success. Yet, little is known about learning strategies of students in university preparation science courses, who are frequently mature-aged or underrepresented students. This lack of knowledge potentially hinders tailoring reflective learning experiences, specific…
Descriptors: Electronic Learning, Science Instruction, Learning Strategies, Nontraditional Students
Med Nadjib Kouahla; Adil Boughida; Imed Chebata; Zohra Mehenaoui; Yacine Lafifi – Interactive Learning Environments, 2023
In e-learning environments, several activities are offered to learners, including learning and assessment activities. During these activities, the learner may encounter difficulties, such as blocking situations or lack of motivation. This paper presents a new approach to detect these difficulties based on the learner's emotional states and…
Descriptors: Psychological Patterns, Cognitive Processes, Electronic Learning, Emotional Response
McNeill, Laura; Fitch, Donna – TechTrends: Linking Research and Practice to Improve Learning, 2023
Microlearning provides a valuable and efficient strategy for delivering content to students. As online enrollments continue to increase, further research is needed to determine how students experience microlearning in an online learning format. In this qualitative study, a focus group was used to explore how learners experienced an online…
Descriptors: Electronic Learning, Learning Activities, Instructional Design, Cognitive Processes

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